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《數(shù)據(jù)與政策》(Data & Policy)是一本以PUBLIC ADMINISTRATION綜合研究為特色的國(guó)際期刊。該刊由Cambridge University Press出版商該刊已被國(guó)際重要權(quán)威數(shù)據(jù)庫(kù)SCIE收錄。期刊聚焦PUBLIC ADMINISTRATION領(lǐng)域的重點(diǎn)研究和前沿進(jìn)展,及時(shí)刊載和報(bào)道該領(lǐng)域的研究成果,致力于成為該領(lǐng)域同行進(jìn)行快速學(xué)術(shù)交流的信息窗口與平臺(tái)。該刊2023年影響因子為1.8。CiteScore指數(shù)值為3.1。
Data&Policy is an international academic journal focused on data science, policy analysis, and their intersection. The journal aims to provide a communication platform for researchers, policymakers, and practitioners to explore how data affects the policy-making process and how policies shape the collection, management, and use of data. It is committed to publishing high-quality research results that are not only innovative in theory, but also operable in practice, and can have a positive impact on policy formulation and implementation.
The magazine covers a wide range of content, including but not limited to data governance, data privacy and security, data-driven policy analysis, and the application of data science in public policy. It encourages interdisciplinary research and welcomes submissions from scholars in various fields such as economics, sociology, computer science, statistics, and political science. The readership of the magazine includes academic researchers, government officials, members of non-governmental organizations, and professionals from the private sector. The editorial team of the magazine is composed of internationally renowned scholars who have a profound understanding and rich experience in the fields of data science and policy analysis. The magazine adopts a strict peer review system to ensure that the published articles have high standards of academic quality and research depth. In addition, the magazine actively collaborates with international organizations such as UNESCO and the International Commission on Science and Technology Data (CODATA) to promote international exchange and cooperation in data policies.
《數(shù)據(jù)與政策》是一本專注于數(shù)據(jù)科學(xué)、政策分析以及二者交叉領(lǐng)域的國(guó)際學(xué)術(shù)期刊。該雜志旨在為研究者、政策制定者和實(shí)踐者提供一個(gè)交流平臺(tái),以探討數(shù)據(jù)如何影響政策制定過(guò)程,以及政策如何塑造數(shù)據(jù)的收集、管理和使用。它致力于發(fā)表高質(zhì)量的研究成果,這些成果不僅在理論上具有創(chuàng)新性,而且在實(shí)踐中具有可操作性,能夠?qū)φ咧贫ê蛯?shí)施產(chǎn)生積極影響。
雜志內(nèi)容覆蓋廣泛,包括但不限于數(shù)據(jù)治理、數(shù)據(jù)隱私與安全、數(shù)據(jù)驅(qū)動(dòng)的政策分析、數(shù)據(jù)科學(xué)在公共政策中的應(yīng)用等。它鼓勵(lì)跨學(xué)科的研究,歡迎來(lái)自經(jīng)濟(jì)學(xué)、社會(huì)學(xué)、計(jì)算機(jī)科學(xué)、統(tǒng)計(jì)學(xué)、政治學(xué)等多個(gè)領(lǐng)域的學(xué)者投稿。雜志的讀者群體包括學(xué)術(shù)研究人員、政府官員、非政府組織成員以及私營(yíng)部門的專業(yè)人士。雜志的編輯團(tuán)隊(duì)由國(guó)際知名學(xué)者組成,他們對(duì)數(shù)據(jù)科學(xué)和政策分析領(lǐng)域有著深刻的理解和豐富的經(jīng)驗(yàn)。雜志采用嚴(yán)格的同行評(píng)審制度,確保發(fā)表的文章具有高標(biāo)準(zhǔn)的學(xué)術(shù)質(zhì)量和研究深度。此外,該雜志還積極與國(guó)際組織如聯(lián)合國(guó)教科文組織(UNESCO)和國(guó)際科學(xué)技術(shù)數(shù)據(jù)委員會(huì)(CODATA)等合作,共同推動(dòng)數(shù)據(jù)政策的國(guó)際交流與合作。
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JCR分區(qū)等級(jí):Q3
按JIF指標(biāo)學(xué)科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
學(xué)科:PUBLIC ADMINISTRATION | ESCI | Q3 | 51 / 91 |
44.5% |
按JCI指標(biāo)學(xué)科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
學(xué)科:PUBLIC ADMINISTRATION | ESCI | Q3 | 58 / 91 |
36.81% |
Gold OA文章占比 | 研究類文章占比 | 文章自引率 |
98.96% | 100.00% | |
開(kāi)源占比 | 出版國(guó)人文章占比 | OA被引用占比 |
名詞解釋:JCR分區(qū)在學(xué)術(shù)期刊評(píng)價(jià)、科研成果展示、科研方向引導(dǎo)以及學(xué)術(shù)交流與合作等方面都具有重要的價(jià)值。通過(guò)對(duì)期刊影響因子的精確計(jì)算和細(xì)致劃分,JCR分區(qū)能夠清晰地反映出不同期刊在同一學(xué)科領(lǐng)域內(nèi)的相對(duì)位置,從而幫助科研人員準(zhǔn)確識(shí)別出高質(zhì)量的學(xué)術(shù)期刊。
CiteScore | SJR | SNIP | CiteScore 指數(shù) | ||||||||||||||||||||
3.1 | 0.479 | 0.619 |
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名詞解釋:CiteScore是基于Scopus數(shù)據(jù)庫(kù)的全新期刊評(píng)價(jià)體系。CiteScore 2021 的計(jì)算方式是期刊最近4年(含計(jì)算年度)的被引次數(shù)除以該期刊近四年發(fā)表的文獻(xiàn)數(shù)。CiteScore基于全球最廣泛的摘要和引文數(shù)據(jù)庫(kù)Scopus,適用于所有連續(xù)出版物,而不僅僅是期刊。目前CiteScore 收錄了超過(guò) 26000 種期刊,比獲得影響因子的期刊多13000種。被各界人士認(rèn)為是影響因子最有力的競(jìng)爭(zhēng)對(duì)手。
歷年IF值(影響因子)
歷年引文指標(biāo)和發(fā)文量
歷年自引數(shù)據(jù)
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